Conversational AI Engineer

Capgemini is hiring a Conversational AI Engineer in Atlanta, GA for an onsite role focused on building production-ready conversational AI with LLMs and cloud deployment.

Responsibilities

• Design, develop, and deploy conversational AI solutions using Large Language Models such as GPT, Llama, and other foundation models
• Build intelligent chatbots, virtual assistants, and AI-powered applications for enterprise use cases
• Implement Retrieval-Augmented Generation (RAG) architectures with vector databases and semantic search
• Create and optimize prompt engineering strategies to improve response quality, accuracy, and user experience
• Evaluate, fine-tune, and optimize LLMs for business-specific applications
• Apply NLP techniques including intent recognition, text classification, sentiment analysis, entity extraction, summarization, and semantic search
• Use frameworks such as TensorFlow, PyTorch, and other AI/ML platforms to deliver scalable solutions
• Analyze large datasets and improve model performance through experimentation and optimization
• Own the end-to-end AI and ML lifecycle using MLflow or similar MLOps tools
• Deploy, monitor, and maintain production-grade AI/GenAI applications
• Ensure reliability, scalability, and operational excellence for deployed AI systems
• Integrate conversational AI capabilities into modern web apps using Angular
• Develop responsive user interfaces for AI-powered experiences
• Collaborate with backend and AI teams to connect LLM/ML services with enterprise applications
• Implement real-time conversational experiences and intelligent user interactions
• Validate and review LLM solution architectures to support performance, governance, and scalability
• Deploy AI/ML models on cloud platforms including Azure, AWS, or Google Cloud Platform
• Stay current with advancements in Generative AI, Conversational AI, LLMs, NLP, and emerging AI technologies
• Develop proof-of-concepts, prototypes, and pilot solutions to evaluate new technologies

Requirements

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or related field
• 5+ years of hands-on experience in AI development, data analysis, and machine learning
• Proven experience building and deploying production-grade AI/ML solutions
• Strong expertise in Conversational AI, Generative AI, NLP, and Large Language Models (LLMs)
• Experience with LangChain or similar LLM orchestration frameworks
• Hands-on experience implementing RAG solutions using vector databases
• Experience with GPT, Llama, or other commercial/open-source LLMs
• Strong proficiency in Python and software engineering best practices
• Experience with Angular and modern web application development
• Knowledge of MLflow or similar MLOps platforms for model lifecycle management
• Experience with TensorFlow, PyTorch, or equivalent machine learning frameworks
• Familiarity with Azure, AWS, or Google Cloud services for AI deployment and scaling

Technologies

• Large Language Models (LLMs), GPT, Llama
• Natural Language Processing (NLP), Machine Learning, Generative AI
• Retrieval-Augmented Generation (RAG), vector databases, semantic search technologies
• TensorFlow, PyTorch, MLflow
• LangChain, Python, Angular
• Azure, AWS, Google Cloud Platform

Compensation

• USD 80,000 - 90,000 per year

Benefits

• Paid time off based on employee grade (A-F) per policy: Vacation 12-25 days depending on grade, Company paid holidays, Personal Days, Sick Leave
• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility